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Enhancing steady state processing of plant protein for the food industry

Enhancing steady state processing of plant protein for the food industry
加强食品工业植物蛋白的稳态加工
批准号:
544448-2019
负责人:
Rogers, Kevin
金额:
$1.8万
依托单位:
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 1
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

项目摘要

项目成果

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中文摘要
翻译
KeyLeaf(KL)是以植物为基础的提取物和成分作为产品的领先权威。KL和萨斯喀彻温省理工学院(SP)正在研究如何利用机器学习、NoSQL和工业物联网(IIoT)来现代化和优化KL的成分提取流程。该项目的接洽阶段将与相同规模的MITACS赠款一起开始,涉及建立数据库(DB)和用户界面,确定如何最好地组织用于分析的数据,设计分析算法,然后对系统进行测试,并为下一阶段做准备。这将为KL产生一个更快的生物处理系统,能够识别其自身工艺中可以改进的领域,从而提高产品质量。
英文摘要
KeyLeaf (KL) is a leading authority on plant-based extracts and ingredients as products. KL and Saskatchewan Polytechnic (SP) are investigating how to take advantage of machine learning, NoSQL and the Industrial Internet of Things (IIoT) to modernize and optimize KL's ingredient extraction process. The Engage phase of the project will commence in tandem with a MITACS grant of the same scope, involving building the database (DB) and user interface, determining how to best structure the data for analysis, designing the analytic algorithms, then testing the system and prepping for the next phase. This will produce a faster bioprocessing system for KL capable of identifying areas in its own processes that can be improved, thus increasing product quality.
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  • 财政年份:
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